User behavior analysis system based on data mining technology and method thereof
A technology of data mining and behavior analysis, applied to instruments, character and pattern recognition, computer components, etc., can solve the problems of low acceleration ratio, poor scalability, noise interference, etc., and achieve the effect of a comfortable car environment
Pending Publication Date: 2021-06-18
NORTHEASTERN UNIV
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Problems solved by technology
The current time-series data mining algorithms have the problems that the mining process is susceptible to noise interference, low speed-up ratio, and poor scalability. It is necessary to study time-series data mining algorithms
Method used
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Embodiment Construction
[0071] Specific embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings.
[0072] The user behavior analysis method and system based on data mining technology in this embodiment include a temperature data acquisition unit, a mobile phone control terminal and a server end;
[0073] data acquisition unit such as figure 1 As shown in the temperature measurement node structure, it includes single-chip microcomputer MSP430F2132, 12-bit precision temperature sensor TMP275, Wi-Fi communication module USRWIFI232-S and power module. MSP430F2132 transmits data with Wi-Fi communication module through USART bus protocol, and communicates with temperature sensor through FC bus protocol.
[0074] The single-chip microcomputer adopts TI's ultra-low power consumption MSP430 series l' single-chip microcomputer. MSP430F2132 is a small-sized single-chip microcomputer with 8kB Flash, 512B RAM memory, 2 USARTs, 1 FC, and 28 pins. Not o...
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The invention provides a user behavior analysis system based on a data mining technology and a method thereof, and relates to the technical field of Internet data mining. The system comprises a temperature data acquisition unit, a mobile phone control terminal and a server side, Internet user behavior information is collected and sorted; the collected data is subjected to data preprocessing operation, so that noise is eliminated, and the difference of the lengths of extreme points is solved; data mining processing is carried out based on multi-target decision on the preprocessed data to realize data mining of the time sequence; aiming at the condition of excessive resource consumption in a data processing process, a cloud edge cooperative computing method is provided, and an edge end server and a cloud end server cooperatively work to realize real-time classification of mass data; a privacy leakage risk exists in a data uploading process, the plaintext data is encrypted by adopting a symmetric key, and a subscriber can decrypt the plaintext data only by holding a correct key.
Description
technical field [0001] The invention relates to the technical field of Internet data mining, in particular to a user behavior analysis system and method based on data mining technology. Background technique [0002] With the rapid development of Internet technology, people's life and work are increasingly dependent on the Internet. Users are using the services provided by enterprise application systems, and the generated user behavior operation log data is also gradually increasing. By analyzing and mining the hidden information in the log data, some interesting patterns can be obtained, and these interesting patterns are of great significance for analyzing various needs of users and evaluating the effect of products. The development of computer technology has promoted the society to enter the era of big data. Mining useful time series data in complex and massive data is an urgent problem to be solved. [0003] In recent years, data mining has become the core backbone techn...
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Login to View More IPC IPC(8): G06K9/62
CPCG06F18/241G06F18/214
Inventor 胡旭光李正马大中胡旌伟孙秋野李希博王鹏程李程晨王雷
Owner NORTHEASTERN UNIV